This is where all download will be listed, utilizing the Page Add plugin.
File Name | S22-Policy-Stoa-12-NEG-AlgoAccountability.docx |
File Size | 62.80 KB |
Date added | September 27, 2021 |
Category | Policy (Stoa) |
Author | David W. Helton |
Resolved: The United States federal government substantially reform the use of Artificial Intelligence technology
The case against passing the Algorithmic Accountability Act (AAA). The AAA requires large companies to audit their own AI systems, or use outside auditing firms to do so. The bill uses the Federal Trade Commission (FTC) to oversee these audits. It’s important to note that the FTC is already taking action against biased AI under existing laws, which begs the question do we need to give them more authority in order to stop bias? But with so many companies being required to conduct audits, there won’t be enough external auditors to go around. There are only ten to twenty reputable algorithmic auditing firms, and many companies may not have the capability to audit their own algorithms. Additionally, there’s no guarantee that these audits will actually identify problems in the algorithms, which means an audit might just end up certifying bias in AI. Finally, imposing such broad regulations will harm the development of AI and lawmakers should concentrate on more targeted restrictions.